Conference2025 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics Cifer 2025.
Members
A Deep Ensemble Learning Approach for Imbalanced Data in Bankruptcy Prediction An experimental survey of imbalanced learning algorithms for bankruptcy prediction Echogan: extending the field of view in transthoracic echocardiography through conditional gan-based outpainting Clash of titans on imbalanced data: TabNet vs XGBoost Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm
Mgr. Róbert Kanász, PhD.
Researcher
Róber Kanasz is a PhD student at the Department of Computers and Informatics, Technical University of Kosice. His research focuses on machine learning, business data analytics and neural networks.
Research interests
- Bankruptcy prediction, decision support for digital business
Publications
7 publications · 2007–2025
2025
3JournalArtificial Intelligence Review
JournalComputer methods and programs in biomedicine.
2024
1Conference2024 IEEE Conference on Artificial Intelligence.
2023
1JournalPeerJ. Computer science.